ECTS - Macroeconomics
Macroeconomics (ECON505) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Macroeconomics | ECON505 | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | N/A |
| Course Level | Social Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | Course objective is to study the basic concepts and institutions of macroeconomics at the intermediate level, to examine the main models and to present the behavioral foundations of macroeconomics. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | National income accounting, aggregate supply and demand, first models, behavioral foundations. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction | Dornbusch&Fisher, Chapter 1 |
| 2 | National Income Accounting | Dornbusch&Fisher, Chapter 2 |
| 3 | Aggregate Supply and Demand | Dornbusch&Fisher, Chapter 5 |
| 4 | Aggregate Supply: Wages, Prices and Unemployment | Dornbusch&Fisher, Chapter 6 |
| 5 | The Anatomy of Inflation and Unemployment | Dornbusch&Fisher, Chapter 7 |
| 6 | Income and Spending | Dornbusch&Fisher, Chapter 9 |
| 7 | Money, Interest and Income | Dornbusch&Fisher, Chapter 10 |
| 8 | Monetary and Fiscal Policy | Dornbusch&Fisher, Chapter 11 |
| 9 | Midterm exam | |
| 10 | International Linkages | Dornbusch&Fisher, Chapter 12 |
| 11 | Consumption and Saving | Dornbusch&Fisher, Chapter 13 |
| 12 | Investment Spending | Dornbusch&Fisher, Chapter 14 |
| 13 | Demand for Money | Dornbusch&Fisher, Chapter 15 |
| 14 | Money and Credit | Dornbusch&Fisher, Chapter 16 |
| 15 | General Rewiev | |
| 16 | Final Exam |
Sources
| Course Book | 1. Dornbusch, Rudiger, Stanley Fischer ve Richard Startz; Makroekonomi, Gazi Kitapevi, Ankara, 2007 |
|---|---|
| Other Sources | 2. Mankiw, N. Gregory; Makroekonomi, Eflatun yayınevi, Ankara, 2009 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 50 |
| Final Exam/Final Jury | 1 | 50 |
| Toplam | 2 | 100 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | To compare main microeconomic theories, approaches and make a critical evaluation of each | X | ||||
| 2 | To compare main macroeconomic theories, approaches and make a critical evaluation of each | X | ||||
| 3 | To apply mathematical modeling | X | ||||
| 4 | To employ statistical and econometric tools in analyzing an economic phenomena | X | ||||
| 5 | To analyze the main economic indicators and comment on them | X | ||||
| 6 | To acquire theoretical knowledge through literature survey and derive empirically confirmable hypothesis | X | ||||
| 7 | To make a research design and carry it out within predetermined time frames | X | ||||
| 8 | To be able to develop new approaches for complex problems in applied economics and/or apply statistical/econometric tools to new areas/problems | X | ||||
| 9 | To formulate and present policy recommendations based on academic research | X | ||||
| 10 | To combine economic knowledge with other disciplines in order to solve problems requiring scientific expertise | X | ||||
| 11 | To use information technology effectively | X | ||||
| 12 | To continue learning and undertake advanced research independently | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | |||
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 4 | 64 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 2 | 6 | 12 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | |||
| Total Workload | 76 | ||